Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Triwiyanto Triwiyanto"'
Autor:
Triwiyanto Triwiyanto, Sari Luthfiyah, I. Putu Alit Pawana, Abdussalam Ali Ahmed, Alcham Andrian
Publikováno v:
HardwareX, Vol 14, Iss , Pp e00432- (2023)
This research aimed to develop an open-source exoskeleton for hand rehabilitation (EHR) device that can be controlled wirelessly in bilateral mode. This design has the advantage of being light and being controlled easily using WiFi-based wireless com
Externí odkaz:
https://doaj.org/article/7f97c8f92d944e4282eb3e84d8b89e44
Autor:
Triwiyanto Triwiyanto, Wahyu Caesarendra, Mauridhi Hery Purnomo, Maciej Sułowicz, I Dewa Gede Hari Wisana, Dyah Titisari, Lamidi Lamidi, Rismayani Rismayani
Publikováno v:
Micromachines, Vol 13, Iss 2, p 191 (2022)
High accuracy and a real-time system are priorities in the development of a prosthetic hand. This study aimed to develop and evaluate a real-time embedded time-domain feature extraction and machine learning on a system on chip (SoC) Raspberry platfor
Externí odkaz:
https://doaj.org/article/392afccea1a141ccb6ad5771db13f043
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 15, Iss 3, Pp 424-434 (2017)
Studying muscle fatigue plays an important role in preventing the risks associated with musculoskeletal disorders. The effect of elbow-joint angle on time-frequency parameters during a repetitive motion provides valuable information in finding the mo
Externí odkaz:
https://doaj.org/article/013b1b5fa1274f449ae7c127e6237b35
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 15, Iss 3, Pp 448-458 (2017)
In literature, it is well established that feature extraction and pattern classification algorithms play essential roles in accurate estimation of the elbow joint angle. The problem with these algorithms, however, is that they require a learning stag
Externí odkaz:
https://doaj.org/article/c0eb5c47aa624632bdea5a1509be126e